Staff Analytics Engineer - Data Analytics Team, Hyderabad
Warner Bros. Discovery · Hyderabad · onsite · Posted 69d ago
Undisclosed1–4 yrsfulltimeSourced from
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About this role
Welcome to Warner Bros. Discovery the stuff dreams are made of.
Who We Are
When we say, the stuff dreams are made of, we re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what s next
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
About Warner Bros. Discovery :
Warner Bros. Discoverys Global Technology organization sits at the intersection of technology, entertainment, and everyday utility. Our platform powers experiences across streaming, content delivery, personalization, subscriptions, commerce, and analytics for millions of customers worldwide. As a technology organization, we build scalable, data-driven products that enable Warner Bros. Discoverys continued growth and support our streaming platforms.
For more information, please visit www.wbd.com
For more information, please visit www.wbd.com
Meet Our Te am :
The Commerce & Growth Analytics team works across acquisition and retention sciences, partnering with Product, Marketing, Engineering, Finance, and other cross-functional stakeholders to understand how customers discover, subscribe, activate, and retain Warner Bros. Discoverys streaming products. We develop and support strategic data & analytical products combining advanced analytics, statistics, experimentation, machine learning, and scalable data engineering to generate actionable insights that influence activation, monetization, and revenue growth across global markets. Working with large-scale behavioral, subscription, authentication, and payment data, we solve complex business problems and drive data-informed decision-making across the organization.
About the Role :
As a Staff Analytics Engineer, you will be responsible for data pipeline, data strategy, and data visualization-related efforts for the Commerce & Growth Analytics team at WBD. Youre an engineer who not only understands how to use big data in answering complex business questions but also how to design semantic layers to best support self-service vehicles. You will manage projects from requirements gathering to planning to implementation of full-stack data solutions (pipelines to data tables to visualizations). You will work closely with cross-functional partners to ensure that business logic is properly represented in the semantic layer and production environments.
Roles & Responsibilities:
- Design and implement data models that support flexible querying and data visualization.
- Partner with Commerce and Growth stakeholders to understand business questions and build out advanced analytical solutions.
- Advance automation efforts that help the team spend less time manipulating and validating data and more time analyzing.
- Build frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage.
- Create systematic solutions for solving data anomalies: identifying, alerting, and root cause analysis.
- Work proactively with stakeholders to ready data solutions for new product and/or feature releases, with a keen eye for uncovering and troubleshooting any data quality issues or nuances.
- Identify and explore new opportunities through creative analytical and engineering methods.
- Create new or optimize existing analytics development standards and best practices.
- Mentor and provide guidance to junior data analytics engineers on the team.
What to Bring:
- Bachelors degree, MS, or greater in a quantitative field of study (Computer/Data Science, Engineering, Mathematics, Statistics, etc.).
- 6+ years of relevant experience in business intelligence / data engineering.
- Expertise in writing SQL (clean, fast code is a must) and in data-warehousing concepts such as star schemas, slowly changing dimensions, and ELT/ETL.
- Experience in transforming flawed/changing data into consistent, trustworthy datasets, and in developing DAGs to batch-process millions of records.
- Experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formats.
- Experience with big-data technologies (e.g. Spark, Kafka, Hive).
- Advanced ability to build reports and dashboards with BI tools (such as Looker and Tableau).
- Proficiency with Git (or similar version control) and CI/CD best practices.
- Experience managing workflows using Agile practices.
- Expertise in writing clear, concise documentation and communicating with a high degree of precision.
- Ability to solve ambiguous problems independently and to manage multiple projects and time constraints simultaneously.
- Care for the quality of the input data and how the processed data is ultimately interpreted and used.
- Strong written and verbal communication skills, and strong organizational skills with the ability to act independently and responsibly.
- Self-starter, comfortable initiating projects from design to execution with minimal supervision, and able to balance multiple (and sometimes competing) priorities in a fast-paced, complex business environment while consistently meeting deadlines.
- Team player and relationship builder.
Goo d to Have :
- Experience with OLAP databases such as Snowflake or Redshift.
- Experience with dbt or similar transformation and semantic-layer frameworks.
- Experience with digital products, streaming services, or subscription products.
- Experience with cloud data platforms such as Databricks.
- A Great Place to work
- Equal opportunity employer
- Fast track growth opportunities
Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.
Sourced from naukri
Skills
data qualityAutomationData StrategyAgilebi toolsAnalyticsdata modelsCloud DataData AnalyticsData EngineeringcloudCommunication SkillsAlgorithmsAdvanced AnalyticsBusiness IntelligenceBig DataData Science
About Warner Bros. Discovery
Warner Bros. Discovery
Media & Entertainment
887
employees
1923
103 years old
New York, New York
United States
About
Warner Bros. Discovery is a leading global media entity, delivering diverse content across film, sports, and streaming, enhancing audience engagement and storytelling.
Industries
Media & Entertainment
Employee ratings
162 reviews
3.7/ 5
Culture
3.8
Career growth
3.0
Work-life
3.8
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